About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Talking Intelligent Trading with Andrew Delaney: It’s Time to Buy and Build

Subscribe to our newsletter

As we put the last-minute touches on our agenda for next week’s Intelligent Trading Summit in New York – register here if you haven’t already – we continue to canvass the marketplace on what makes a trading platform intelligent. Part of the story, we are finding, is in approach to design. And the message we are hearing is that after a decade of polarisation in the build vs. buy debate, there is emerging a Third Way.

The concept of buying component parts and building them into a preferred trading architecture is gaining moment. Call it build AND buy. Its genesis appears to have been the recognition among larger players in particular that building everything yourself is no longer a) a requirement for key elements of trading system functionality and b) cost-effective at a time when everything is being squeezed.

And lower vendor price points, based on use of more open technologies and new commercial models like open-source, means that smaller players can start to add unique functionality where before they were constrained by resource to use of vanilla third-party systems with little scope for differentiation.

Underpinning all of this is a visible trend toward freedom from reliance on a single supplier, even as the post-trade data management requirement becomes more complex the more components are involved. (Indeed, a common emerging complaint is the difficulty in integrating the output from multiple trading systems in a way that can be applied to the raft of new reporting requirements being demanded by regulators.)

Those with the savvy and resource are building trading infrastructures based around central messaging platforms. They are integrating front-end components – OMS, EMS, market data – from third-party suppliers. And they’re driving all post-trade messaging across the platform to middle- and back-office functions like risk management, regulatory reporting and settlement.

Ensuring consistency of data is the new challenge, driving a potential trade-off between performance/functionality and the ability to handle data outputs from multiple systems. We’ll be hearing about some of this at ITS in New York next week, where experts from the likes of sponsors Fidessa, Tibco and IBM will share their insights into how they are helping clients develop intelligent trading systems in this new environment. And we’ll be hosting a webinar on the topic, probably in June, to delve into drivers, challenges and best practices.

In all this excitement, I find myself humming a familiar tune. With apologies – once again – to Paul McCartney, it goes something like this:

‘And in this ever-changin’ world in which we’re living

Makes you give it a try – To build AND buy’

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Bloomberg’s Kate Lee on Regulatory Data as an Operating Layer for Compliance and Reporting

Regulatory data has become a firmly established part of the control architecture of capital markets firms. As transparency rules diverge across the jurisdictions, liquidity monitoring becomes more granular, and supervisors demand stronger evidence of how figures are derived, firms are obligated to treat regulatory datasets as governed, versioned and explainable operating assets. In this Q&A...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...